The design considerations and operational features of DoPHOT, a point-spread function (PSF) fitting photometry program, are described. Some relevant details of the PSF fitting are discussed. The quality of the photometry returned by dophot is assessed via reductions of an "artificial" globular cluster generated from a list of stars with known magnitudes and colors. Results from comparative tests between dophot and DAOPHOT using this synthetic cluster and real data are also described.
The Las Campanas Redshift Survey (LCRS) consists of 26418 redshifts of
galaxies selected from a CCD-based catalog obtained in the $R$ band. The survey
covers over 700 square degrees in 6 strips, each 1.5$\arcdeg$ x 80$\arcdeg$,
three each in the North and South galactic caps. The median redshift in the
survey is about 30000 km~s$^{-1}$. Essential features of the galaxy selection
and redshift measurement methods are described and tabulated here. These
details are important for subsequent analysis of the LCRS data. Two dimensional
representations of the redshift distributions reveal many repetitions of voids,
on the scale of about 5000 km~s$^{-1}$, sharply bounded by large walls of
galaxies as seen in nearby surveys. Statistical investigations of the mean
galaxy properties and of clustering on the large scale are reported elsewhere.
These include studies of the luminosity function, power spectrum in two and
three dimensions, correlation function, pairwise velocity distribution,
identification of large scale structures, and a group catalog. The LCRS
redshift catalog will be made available to interested investigators at an
internet web site and in archival form as an Astrophysical Journal CD-ROM.Comment: 40 pages, including 11 of 17 postscript figures, uses AASTEX v4.0
style files, to appear in ApJ. The full paper, as well as the LCRS redshift
catalog, are available at http://manaslu.astro.utoronto.ca/~lin/lcrs.html
(North America) and at http://www.aip.de:8080/~tucker/lcrs-mirror.html
(Europe
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.